Pandas Profiling Report

Dataset statistics

Number of variables	14
Number of observations	768
Missing cells	0
Missing cells (%)	0.0%
Duplicate rows	0
Duplicate rows (%)	0.0%
Total size in memory	84.1 KiB
Average record size in memory	112.2 B

Variable types

Numeric	8
Boolean	3
Categorical	3

Alerts

`Pregnancies` is highly overall correlated with `Age`	High correlation
`Age` is highly overall correlated with `Pregnancies`	High correlation
`SkinThickness` is highly overall correlated with `Insulin`	High correlation
`Insulin` is highly overall correlated with `SkinThickness`	High correlation
`Pregnancies` has 111 (14.5%) zeros	Zeros
`BloodPressure` has 35 (4.6%) zeros	Zeros
`SkinThickness` has 227 (29.6%) zeros	Zeros
`Insulin` has 374 (48.7%) zeros	Zeros
`BMI` has 11 (1.4%) zeros	Zeros

Reproduction

Analysis started	2023-04-22 07:55:59.018976
Analysis finished	2023-04-22 07:56:06.863960
Duration	7.84 seconds
Software version	pandas-profiling v3.6.6
Download configuration	config.json

Pregnancies
Real number (ℝ)

HIGH CORRELATION ZEROS

Distinct	17
Distinct (%)	2.2%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	3.8450521

Minimum	0
Maximum	17
Zeros	111
Zeros (%)	14.5%
Negative	0
Negative (%)	0.0%
Memory size	6.1 KiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	1
median	3
Q3	6
95-th percentile	10
Maximum	17
Range	17
Interquartile range (IQR)	5

Descriptive statistics

Standard deviation	3.3695781
Coefficient of variation (CV)	0.87634133
Kurtosis	0.15921978
Mean	3.8450521
Median Absolute Deviation (MAD)	2
Skewness	0.90167398
Sum	2953
Variance	11.354056
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=17)

Value	Count	Frequency (%)
1	135	17.6%
0	111	14.5%
2	103	13.4%
3	75	9.8%
4	68	8.9%
5	57	7.4%
6	50	6.5%
7	45	5.9%
8	38	4.9%
9	28	3.6%
Other values (7)	58	7.6%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0	111	14.5%
1	135	17.6%
2	103	13.4%
3	75	9.8%
4	68	8.9%
5	57	7.4%
6	50	6.5%
7	45	5.9%
8	38	4.9%
9	28	3.6%

Value	Count	Frequency (%)
17	1	0.1%
15	1	0.1%
14	2	0.3%
13	10	1.3%
12	9	1.2%
11	11	1.4%
10	24	3.1%
9	28	3.6%
8	38	4.9%
7	45	5.9%

Age
Real number (ℝ)

Distinct	52
Distinct (%)	6.8%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	33.240885

Minimum	21
Maximum	81
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	6.1 KiB

Quantile statistics

Minimum	21
5-th percentile	21
Q1	24
median	29
Q3	41
95-th percentile	58
Maximum	81
Range	60
Interquartile range (IQR)	17

Descriptive statistics

Standard deviation	11.760232
Coefficient of variation (CV)	0.35378816
Kurtosis	0.64315889
Mean	33.240885
Median Absolute Deviation (MAD)	7
Skewness	1.1295967
Sum	25529
Variance	138.30305
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
22	72	9.4%
21	63	8.2%
25	48	6.2%
24	46	6.0%
23	38	4.9%
28	35	4.6%
26	33	4.3%
27	32	4.2%
29	29	3.8%
31	24	3.1%
Other values (42)	348	45.3%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
21	63	8.2%
22	72	9.4%
23	38	4.9%
24	46	6.0%
25	48	6.2%
26	33	4.3%
27	32	4.2%
28	35	4.6%
29	29	3.8%
30	21	2.7%

Value	Count	Frequency (%)
81	1	0.1%
72	1	0.1%
70	1	0.1%
69	2	0.3%
68	1	0.1%
67	3	0.4%
66	4	0.5%
65	3	0.4%
64	1	0.1%
63	4	0.5%

Glucose
Real number (ℝ)

Distinct	136
Distinct (%)	17.7%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	120.89453

Minimum	0
Maximum	199
Zeros	5
Zeros (%)	0.7%
Negative	0
Negative (%)	0.0%
Memory size	6.1 KiB

Quantile statistics

Minimum	0
5-th percentile	79
Q1	99
median	117
Q3	140.25
95-th percentile	181
Maximum	199
Range	199
Interquartile range (IQR)	41.25

Descriptive statistics

Standard deviation	31.972618
Coefficient of variation (CV)	0.26446703
Kurtosis	0.64077982
Mean	120.89453
Median Absolute Deviation (MAD)	20
Skewness	0.1737535
Sum	92847
Variance	1022.2483
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
99	17	2.2%
100	17	2.2%
111	14	1.8%
129	14	1.8%
125	14	1.8%
106	14	1.8%
112	13	1.7%
108	13	1.7%
95	13	1.7%
105	13	1.7%
Other values (126)	626	81.5%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0	5	0.7%
44	1	0.1%
56	1	0.1%
57	2	0.3%
61	1	0.1%
62	1	0.1%
65	1	0.1%
67	1	0.1%
68	3	0.4%
71	4	0.5%

Value	Count	Frequency (%)
199	1	0.1%
198	1	0.1%
197	4	0.5%
196	3	0.4%
195	2	0.3%
194	3	0.4%
193	2	0.3%
191	1	0.1%
190	1	0.1%
189	4	0.5%

BloodPressure
Real number (ℝ)

Distinct	47
Distinct (%)	6.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	69.105469

Minimum	0
Maximum	122
Zeros	35
Zeros (%)	4.6%
Negative	0
Negative (%)	0.0%
Memory size	6.1 KiB

Quantile statistics

Minimum	0
5-th percentile	38.7
Q1	62
median	72
Q3	80
95-th percentile	90
Maximum	122
Range	122
Interquartile range (IQR)	18

Descriptive statistics

Standard deviation	19.355807
Coefficient of variation (CV)	0.28009082
Kurtosis	5.1801566
Mean	69.105469
Median Absolute Deviation (MAD)	8
Skewness	-1.843608
Sum	53073
Variance	374.64727
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=47)

Value	Count	Frequency (%)
70	57	7.4%
74	52	6.8%
78	45	5.9%
68	45	5.9%
72	44	5.7%
64	43	5.6%
80	40	5.2%
76	39	5.1%
60	37	4.8%
0	35	4.6%
Other values (37)	331	43.1%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0	35	4.6%
24	1	0.1%
30	2	0.3%
38	1	0.1%
40	1	0.1%
44	4	0.5%
46	2	0.3%
48	5	0.7%
50	13	1.7%
52	11	1.4%

Value	Count	Frequency (%)
122	1	0.1%
114	1	0.1%
110	3	0.4%
108	2	0.3%
106	3	0.4%
104	2	0.3%
102	1	0.1%
100	3	0.4%
98	3	0.4%
96	4	0.5%

SkinThickness
Real number (ℝ)

HIGH CORRELATION ZEROS

Distinct	51
Distinct (%)	6.6%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	20.536458

Minimum	0
Maximum	99
Zeros	227
Zeros (%)	29.6%
Negative	0
Negative (%)	0.0%
Memory size	6.1 KiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	0
median	23
Q3	32
95-th percentile	44
Maximum	99
Range	99
Interquartile range (IQR)	32

Descriptive statistics

Standard deviation	15.952218
Coefficient of variation (CV)	0.77677549
Kurtosis	-0.52007187
Mean	20.536458
Median Absolute Deviation (MAD)	12
Skewness	0.1093725
Sum	15772
Variance	254.47325
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
0	227	29.6%
32	31	4.0%
30	27	3.5%
27	23	3.0%
23	22	2.9%
33	20	2.6%
28	20	2.6%
18	20	2.6%
31	19	2.5%
19	18	2.3%
Other values (41)	341	44.4%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0	227	29.6%
7	2	0.3%
8	2	0.3%
10	5	0.7%
11	6	0.8%
12	7	0.9%
13	11	1.4%
14	6	0.8%
15	14	1.8%
16	6	0.8%

Value	Count	Frequency (%)
99	1	0.1%
63	1	0.1%
60	1	0.1%
56	1	0.1%
54	2	0.3%
52	2	0.3%
51	1	0.1%
50	3	0.4%
49	3	0.4%
48	4	0.5%

Insulin
Real number (ℝ)

HIGH CORRELATION ZEROS

Distinct	186
Distinct (%)	24.2%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	79.799479

Minimum	0
Maximum	846
Zeros	374
Zeros (%)	48.7%
Negative	0
Negative (%)	0.0%
Memory size	6.1 KiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	0
median	30.5
Q3	127.25
95-th percentile	293
Maximum	846
Range	846
Interquartile range (IQR)	127.25

Descriptive statistics

Standard deviation	115.244
Coefficient of variation (CV)	1.4441699
Kurtosis	7.2142596
Mean	79.799479
Median Absolute Deviation (MAD)	30.5
Skewness	2.2722509
Sum	61286
Variance	13281.18
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
0	374	48.7%
105	11	1.4%
130	9	1.2%
140	9	1.2%
120	8	1.0%
94	7	0.9%
180	7	0.9%
100	7	0.9%
135	6	0.8%
115	6	0.8%
Other values (176)	324	42.2%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0	374	48.7%
14	1	0.1%
15	1	0.1%
16	1	0.1%
18	2	0.3%
22	1	0.1%
23	2	0.3%
25	1	0.1%
29	1	0.1%
32	1	0.1%

Value	Count	Frequency (%)
846	1	0.1%
744	1	0.1%
680	1	0.1%
600	1	0.1%
579	1	0.1%
545	1	0.1%
543	1	0.1%
540	1	0.1%
510	1	0.1%
495	2	0.3%

BMI
Real number (ℝ)

Distinct	248
Distinct (%)	32.3%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	31.992578

Minimum	0
Maximum	67.1
Zeros	11
Zeros (%)	1.4%
Negative	0
Negative (%)	0.0%
Memory size	6.1 KiB

Quantile statistics

Minimum	0
5-th percentile	21.8
Q1	27.3
median	32
Q3	36.6
95-th percentile	44.395
Maximum	67.1
Range	67.1
Interquartile range (IQR)	9.3

Descriptive statistics

Standard deviation	7.8841603
Coefficient of variation (CV)	0.24643717
Kurtosis	3.2904429
Mean	31.992578
Median Absolute Deviation (MAD)	4.6
Skewness	-0.42898159
Sum	24570.3
Variance	62.159984
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
32	13	1.7%
31.6	12	1.6%
31.2	12	1.6%
0	11	1.4%
32.4	10	1.3%
33.3	10	1.3%
30.1	9	1.2%
32.8	9	1.2%
32.9	9	1.2%
30.8	9	1.2%
Other values (238)	664	86.5%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0	11	1.4%
18.2	3	0.4%
18.4	1	0.1%
19.1	1	0.1%
19.3	1	0.1%
19.4	1	0.1%
19.5	2	0.3%
19.6	3	0.4%
19.9	1	0.1%
20	1	0.1%

Value	Count	Frequency (%)
67.1	1	0.1%
59.4	1	0.1%
57.3	1	0.1%
55	1	0.1%
53.2	1	0.1%
52.9	1	0.1%
52.3	2	0.3%
50	1	0.1%
49.7	1	0.1%
49.6	1	0.1%

DiabetesPedigreeFunction
Real number (ℝ)

Distinct	517
Distinct (%)	67.3%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	0.4718763

Minimum	0.078
Maximum	2.42
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	6.1 KiB

Quantile statistics

Minimum	0.078
5-th percentile	0.14035
Q1	0.24375
median	0.3725
Q3	0.62625
95-th percentile	1.13285
Maximum	2.42
Range	2.342
Interquartile range (IQR)	0.3825

Descriptive statistics

Standard deviation	0.3313286
Coefficient of variation (CV)	0.70215138
Kurtosis	5.5949535
Mean	0.4718763
Median Absolute Deviation (MAD)	0.1675
Skewness	1.9199111
Sum	362.401
Variance	0.10977864
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
0.258	6	0.8%
0.254	6	0.8%
0.268	5	0.7%
0.207	5	0.7%
0.261	5	0.7%
0.259	5	0.7%
0.238	5	0.7%
0.19	4	0.5%
0.263	4	0.5%
0.299	4	0.5%
Other values (507)	719	93.6%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0.078	1	0.1%
0.084	1	0.1%
0.085	2	0.3%
0.088	2	0.3%
0.089	1	0.1%
0.092	1	0.1%
0.096	1	0.1%
0.1	1	0.1%
0.101	1	0.1%
0.102	1	0.1%

Value	Count	Frequency (%)
2.42	1	0.1%
2.329	1	0.1%
2.288	1	0.1%
2.137	1	0.1%
1.893	1	0.1%
1.781	1	0.1%
1.731	1	0.1%
1.699	1	0.1%
1.698	1	0.1%
1.6	1	0.1%

Polyphagia
Boolean

Distinct	2
Distinct (%)	0.3%
Missing	0
Missing (%)	0.0%
Memory size	896.0 B

False	436
True	332

Common Values (Table)
Common Values (Plot)

Value	Count	Frequency (%)
False	436	56.8%
True	332	43.2%

Visual Blurring
Boolean

Distinct	2
Distinct (%)	0.3%
Missing	0
Missing (%)	0.0%
Memory size	896.0 B

False	434
True	334

Common Values (Table)
Common Values (Plot)

Value	Count	Frequency (%)
False	434	56.5%
True	334	43.5%

Obesity
Boolean

Distinct	2
Distinct (%)	0.3%
Missing	0
Missing (%)	0.0%
Memory size	896.0 B

False	638
True	130

Common Values (Table)
Common Values (Plot)

Value	Count	Frequency (%)
False	638	83.1%
True	130	16.9%

Smoker
Categorical

Distinct	2
Distinct (%)	0.3%
Missing	0
Missing (%)	0.0%
Memory size	6.1 KiB

0	409
1	359

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	768
Distinct characters	2
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	1
2nd row	1
3rd row	0
4th row	0
5th row	0

Common Values

Value	Count	Frequency (%)
0	409	53.3%
1	359	46.7%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
0	409	53.3%
1	359	46.7%

Most occurring characters

Value	Count	Frequency (%)
0	409	53.3%
1	359	46.7%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	768	100.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	409	53.3%
1	359	46.7%

Most occurring scripts

Value	Count	Frequency (%)
Common	768	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	409	53.3%
1	359	46.7%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	768	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	409	53.3%
1	359	46.7%

High Cholestrol (HDL)
Categorical

Distinct	2
Distinct (%)	0.3%
Missing	0
Missing (%)	0.0%
Memory size	6.1 KiB

1	406
0	362

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	768
Distinct characters	2
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	1
2nd row	0
3rd row	1
4th row	0
5th row	1

Common Values

Value	Count	Frequency (%)
1	406	52.9%
0	362	47.1%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
1	406	52.9%
0	362	47.1%

Most occurring characters

Value	Count	Frequency (%)
1	406	52.9%
0	362	47.1%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	768	100.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
1	406	52.9%
0	362	47.1%

Most occurring scripts

Value	Count	Frequency (%)
Common	768	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
1	406	52.9%
0	362	47.1%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	768	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
1	406	52.9%
0	362	47.1%

Diabetes Outcome
Categorical

Distinct	2
Distinct (%)	0.3%
Missing	0
Missing (%)	0.0%
Memory size	6.1 KiB

0	500
1	268

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	768
Distinct characters	2
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	1
2nd row	0
3rd row	1
4th row	0
5th row	1

Common Values

Value	Count	Frequency (%)
0	500	65.1%
1	268	34.9%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
0	500	65.1%
1	268	34.9%

Most occurring characters

Value	Count	Frequency (%)
0	500	65.1%
1	268	34.9%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	768	100.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	500	65.1%
1	268	34.9%

Most occurring scripts

Value	Count	Frequency (%)
Common	768	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	500	65.1%
1	268	34.9%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	768	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	500	65.1%
1	268	34.9%

Auto

Heatmap
Table

	Pregnancies	Age	Glucose	BloodPressure	SkinThickness	Insulin	BMI	DiabetesPedigreeFunction	Polyphagia	Visual Blurring	Obesity	Smoker	High Cholestrol (HDL)	Diabetes Outcome
Pregnancies	1.000	0.607	0.131	0.185	-0.085	-0.127	0.000	-0.043	0.077	0.113	0.000	0.096	0.088	0.235
Age	0.607	1.000	0.285	0.351	-0.067	-0.114	0.131	0.043	0.075	0.027	0.000	0.051	0.000	0.314
Glucose	0.131	0.285	1.000	0.235	0.060	0.213	0.231	0.091	0.000	0.000	0.009	0.000	0.000	0.487
BloodPressure	0.185	0.351	0.235	1.000	0.126	-0.007	0.293	0.030	0.000	0.052	0.000	0.055	0.091	0.152
SkinThickness	-0.085	-0.067	0.060	0.126	1.000	0.541	0.444	0.180	0.077	0.000	0.000	0.060	0.000	0.208
Insulin	-0.127	-0.114	0.213	-0.007	0.541	1.000	0.193	0.221	0.000	0.000	0.079	0.000	0.000	0.159
BMI	0.000	0.131	0.231	0.293	0.444	0.193	1.000	0.141	0.000	0.051	0.000	0.000	0.050	0.317
DiabetesPedigreeFunction	-0.043	0.043	0.091	0.030	0.180	0.221	0.141	1.000	0.000	0.039	0.000	0.000	0.042	0.173
Polyphagia	0.077	0.075	0.000	0.000	0.077	0.000	0.000	0.000	1.000	0.258	0.000	0.000	0.000	0.039
Visual Blurring	0.113	0.027	0.000	0.052	0.000	0.000	0.051	0.039	0.258	1.000	0.076	0.041	0.000	0.000
Obesity	0.000	0.000	0.009	0.000	0.000	0.079	0.000	0.000	0.000	0.076	1.000	0.000	0.000	0.000
Smoker	0.096	0.051	0.000	0.055	0.060	0.000	0.000	0.000	0.000	0.041	0.000	1.000	0.113	0.027
High Cholestrol (HDL)	0.088	0.000	0.000	0.091	0.000	0.000	0.050	0.042	0.000	0.000	0.000	0.113	1.000	0.000
Diabetes Outcome	0.235	0.314	0.487	0.152	0.208	0.159	0.317	0.173	0.039	0.000	0.000	0.027	0.000	1.000

Count
Matrix

A simple visualization of nullity by column.

Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.

First rows
Last rows

	Pregnancies	Age	Glucose	BloodPressure	SkinThickness	Insulin	BMI	DiabetesPedigreeFunction	Polyphagia	Visual Blurring	Obesity	Smoker	High Cholestrol (HDL)	Diabetes Outcome
0	6	50	148	72	35	0	33.6	0.627	No	No	Yes	1	1	1
1	1	31	85	66	29	0	26.6	0.351	No	Yes	No	1	0	0
2	8	32	183	64	0	0	23.3	0.672	Yes	No	No	0	1	1
3	1	21	89	66	23	94	28.1	0.167	Yes	No	No	0	0	0
4	0	33	137	40	35	168	43.1	2.288	Yes	Yes	Yes	0	1	1
5	5	30	116	74	0	0	25.6	0.201	Yes	Yes	Yes	1	1	0
6	3	26	78	50	32	88	31.0	0.248	Yes	No	No	1	0	1
7	10	29	115	0	0	0	35.3	0.134	No	Yes	No	1	1	0
8	2	53	197	70	45	543	30.5	0.158	Yes	No	Yes	1	1	1
9	8	54	125	96	0	0	0.0	0.232	Yes	Yes	No	0	0	1

	Pregnancies	Age	Glucose	BloodPressure	SkinThickness	Insulin	BMI	DiabetesPedigreeFunction	Polyphagia	Visual Blurring	Obesity	Smoker	High Cholestrol (HDL)	Diabetes Outcome
758	1	26	106	76	0	0	37.5	0.197	Yes	Yes	No	1	1	0
759	6	66	190	92	0	0	35.5	0.278	Yes	Yes	No	0	0	1
760	2	22	88	58	26	16	28.4	0.766	No	No	No	0	1	0
761	9	43	170	74	31	0	44.0	0.403	No	No	No	0	0	1
762	9	33	89	62	0	0	22.5	0.142	No	Yes	No	1	1	0
763	10	63	101	76	48	180	32.9	0.171	No	No	No	1	0	0
764	2	27	122	70	27	0	36.8	0.340	No	Yes	No	0	1	0
765	5	30	121	72	23	112	26.2	0.245	No	No	No	0	0	0
766	1	47	126	60	0	0	30.1	0.349	No	Yes	No	0	1	1
767	1	23	93	70	31	0	30.4	0.315	No	Yes	Yes	0	1	0

Overview

Variables

Common Values

Length

Common Values (Plot)

Most occurring characters

Most occurring categories

Most frequent character per category

Decimal Number

Most occurring scripts

Most frequent character per script

Common

Most occurring blocks

Most frequent character per block

ASCII

Common Values

Length

Common Values (Plot)

Most occurring characters

Most occurring categories

Most frequent character per category

Decimal Number

Most occurring scripts

Most frequent character per script

Common

Most occurring blocks

Most frequent character per block

ASCII

Common Values

Length

Common Values (Plot)

Most occurring characters

Most occurring categories

Most frequent character per category

Decimal Number

Most occurring scripts

Most frequent character per script

Common

Most occurring blocks

Most frequent character per block

ASCII

Interactions

Correlations

Missing values

Sample